Demographics details for Mount pleasant, SC vs Worden, IL
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Worden, IL.
| Data | Mount pleasant | Worden |
|---|---|---|
| Population | 94,545 | 1,076 |
| Median Age | 42.4 years | 41.6 years |
| Median Income | $115,167 | $73,833 |
| Married Families | 47.0% | 37.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Mount pleasant vs Worden
- In Mount pleasant, the population is higher at 94,545, compared to 1,076 in Worden.
- Residents in Mount pleasant have a higher median age of 42.4 years compared to 41.6 years in Worden.
- Mount pleasant has a higher median income of $115,167 compared to $73,833 in Worden.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 37.0% in Worden.
- Mount pleasant has a higher poverty level at 5% compared to 0% in Worden.
- The unemployment rate is the same in both Mount pleasant and Worden at 3.2%.
Demographics
Demographics Mount pleasant vs Worden provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Worden |
|---|---|---|
| Black | 4 | 1 |
| White | 90 | 97 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pleasant vs Worden
- A higher percentage of Black residents are in Mount pleasant at 4% compared to 1% in Worden.
- The percentage of White residents is higher in Worden at 97% compared to 90% in Mount pleasant.
- The Asian population is larger in Mount pleasant at 2% compared to 0% in Worden.
- The Hispanic community is larger in Mount pleasant at 2% compared to 0% in Worden.
- Both Mount pleasant and Worden have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Mount pleasant and Worden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Worden |
|---|---|---|
| Mental Health Not Good | 13.7% | 14.6% |
| Physical Health Not Good | 7.6% | 9.0% |
| Depression | 19.5% | 20.1% |
| Smoking | 9.8% | 13.7% |
| Binge Drinking | 25.5% | 19.0% |
| Obesity | 26.9% | 34.6% |
| Disability Percentage | 6.0% | 14.0% |
Health Statistics Comparison: Mount pleasant vs Worden
- In Worden, a higher percentage report poor mental health at 14.6% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Worden at 20.1% versus 19.5% in Mount pleasant.
- Worden has a higher smoking rate at 13.7% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 19.0% in Worden.
- Worden has higher obesity rates at 34.6% compared to 26.9% in Mount pleasant.
- There is a higher percentage of disabled individuals in Worden at 14.0% compared to 6.0% in Mount pleasant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pleasant | Worden |
|---|---|---|
| No Schooling | 0.3% (259) | 0.0% (Data is updating) |
| High School Diploma | 5.8% (5,499) | 16.6% (179) |
| Less than High School | 2.7% (2,577) | 4.7% (51) |
| Bachelor's Degree and Higher | 46.2% (43,679) | 10.8% (116) |
Education Levels Comparison: Mount pleasant vs Worden
- A higher percentage of residents in Mount pleasant have no formal schooling at 0.3% compared to 0.0% in Worden.
- In Worden, the rate of residents with high school diplomas is higher at 16.6% compared to 5.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Worden at 4.7%, compared to 2.7% in Mount pleasant.
- A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 10.8% in Worden.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.